Wireless Power Transfer Projects for ME, MTech, Masters, MS abroad, and PhD students. These Wireless Power Transfer ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Wireless Power Transfer Projects
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Computation Rate Maximization for Wireless-Powered Edge Computing With Multi-User Cooperation
This project studies a system where small devices can share computing tasks and get energy wirelessly. Devices work together in groups to split tasks between themselves and a central hub. The goal is to finish more computing work faster while saving energy. The team developed algorithms, including one using deep learning, to make this process efficient and quick. -
Design of a Closed-Loop Wireless Power Transfer System for an Implantable Drug Delivery Device
This project focuses on safely powering small medical devices inside the body without wires. The researchers built a system that can wirelessly recharge tiny batteries using standard parts. They tested how well it works when the coils are moved or misaligned. The system was able to recharge batteries reliably and efficiently while staying cool. -
Energy Harvesting Maximization for Reconfigurable Intelligent Surfaces Using Amplitude Measurements
This project focuses on making a special surface, called a reconfigurable intelligent surface (RIS), work using energy it gathers from the environment instead of external power. The researchers developed methods that adjust the surface to capture the most energy using only simple power readings. They tested these methods in simulations and showed they perform better than random adjustments. The work helps RIS devices operate efficiently even in noisy or uncertain conditions. -
Going Beyond a Simple RIS Trends and Techniques Paving the Path of Future RIS
This project looks at improving future wireless networks, like 6G, which need very fast and reliable connections. High-frequency signals lose strength quickly and are easily blocked. The study explores reconfigurable intelligent surfaces (RIS) that can control how signals travel to boost coverage and speed. It also discusses how machine learning can make these systems smarter and more efficient. -
Near-Field Power Efficiency Maximization of a Bessel-Shaped Beam Through Planar Layered Media
This project focuses on improving wireless power transfer using special Bessel-shaped beams. The researchers created a new way to measure how much power can pass through layered materials in the near-field region. Their method helps find the best beam settings to deliver maximum power efficiently. Simulations show it can accurately predict the conditions for the highest power transfer. -
On the Performance of Interference-Based Energy-Harvesting-Enabled Wireless AF Relaying Communication Systems
This project studies a wireless communication system that can harvest energy from unwanted radio signals around it. The system can collect energy at the source, at the relay, or at both at the same time. The research analyzes how well the system performs in different cases, measuring how often it fails to transmit data and how much data it can send reliably. The results show how the energy source and channel conditions affect the system’s performance. -
RF Energy Harvesting Techniques for Battery-Less Wireless Sensing Industry 4.0 and Internet of Things A Review
This project focuses on using energy from the environment to power small IoT devices without batteries. It studies different ways to harvest energy, especially from radio waves, to run low-power electronics. The goal is to make devices that need no maintenance and work in smart industries, agriculture, healthcare, and 5G networks. It also looks at future trends in improving these systems and integrating them into modern technology.
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